11 citations · 41 across the 21 of their papers we have counts for
21 papers
GeoIMO: Geometry-Driven Independent Motion Classification for Event Cameras
Anil Bayram Gogebakan, Filippo Marostica, Alessio Caviglia +2
Existing automotive event datasets rely on appearance-based annotations from frame pipelines, making them poorly suited for motion-aware event perception. We present a geometry-dri…
A benchmark suite of intracellular Boolean model variants and multiscale simulations for computational biology
Marco Masera, Riccardo Smeriglio, Roberta Bardini +2
We present PhysiBench, an open resource for developing and evaluating computational methods in systems biology including a benchmark suite of 612 executable intracellular Boolean r…
InjectV: Modeling Fault Injection Attacks in RISC-V Simulation Environment
Niccolò Lentini, Giorgio Fardo, Stefano Di Carlo +1
Fault Injection Attacks (FIAs) are a significant threat to hardware security, capable of compromising systems by inducing malicious faults in computation or storage. Evaluating res…
Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks
Alessio Caviglia, Filippo Marostica, Alessandro Savino +1
Deploying adaptive intelligence at the edge remains challenging due to the high computational and energy cost of training neural models. Spiking Neural Networks (SNNs) offer a prom…
Experimental Analysis of FreeRTOS Dependability through Targeted Fault Injection Campaigns
Luca Mannella, Stefano Di Carlo, Alessandro Savino
Real-Time Operating Systems (RTOSes) play a crucial role in safety-critical domains, where deterministic and predictable task execution is essential. Yet they are increasingly expo…
LuxIA: A Lightweight Unitary matriX-based Framework Built on an Iterative Algorithm for Photonic Neural Network Training
Tzamn Melendez Carmona, Federico Marchesin, Marco P. Abrate +3
PNNs present promising opportunities for accelerating machine learning by leveraging the unique benefits of photonic circuits. However, current state of the art PNN simulation tool…
Power Side-Channel Analysis of the CVA6 RISC-V Core at the RTL Level Using VeriSide
Behnam Farnaghinejad, Antonio Porsia, Annachiara Ruospo +3
Security in modern RISC-V processors demands more than functional correctness: It requires resilience to side-channel attacks. This paper evaluates the vulnerability of the side ch…
Uncovering Privacy Vulnerabilities through Analytical Gradient Inversion Attacks
Tamer Ahmed Eltaras, Qutaibah Malluhi, Alessandro Savino +2
Federated learning has emerged as a prominent privacy-preserving technique for leveraging large-scale distributed datasets by sharing gradients instead of raw data. However, recent…
EHWGesture -- A dataset for multimodal understanding of clinical gestures
Gianluca Amprimo, Alberto Ancilotto, Alessandro Savino +5
Hand gesture understanding is essential for several applications in human-computer interaction, including automatic clinical assessment of hand dexterity. While deep learning has a…
CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN bus
Franco Oberti, Stefano Di Carlo, Alessandro Savino
The Controller Area Network (CAN) protocol, essential for automotive embedded systems, lacks inherent security features, making it vulnerable to cyber threats, especially with the…
SFATTI: Spiking FPGA Accelerator for Temporal Task-driven Inference -- A Case Study on MNIST
Alessio Caviglia, Filippo Marostica, Alessio Carpegna +2
Hardware accelerators are essential for achieving low-latency, energy-efficient inference in edge applications like image recognition. Spiking Neural Networks (SNNs) are particular…
Energy-Efficient Digital Design: A Comparative Study of Event-Driven and Clock-Driven Spiking Neurons
Filippo Marostica, Alessio Carpegna, Alessandro Savino +1
This paper presents a comprehensive evaluation of Spiking Neural Network (SNN) neuron models for hardware acceleration by comparing event driven and clock-driven implementations. W…
Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components
Federico Marchesin, Matěj Hejda, Tzamn Melendez Carmona +5
Matrix-vector multiplications (MVMs) are essential for a wide range of applications, particularly in modern machine learning and quantum computing. In photonics, there is growing i…
Security and RAS in the Computing Continuum
Martí Alonso, David Andreu, Ramon Canal +10
Security and RAS are two non-functional requirements under focus for current systems developed for the computing continuum. Due to the increased number of interconnected computer s…
Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection
Alessio Carpegna, Chiara De Luca, Federico Emanuele Pozzi +4
Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients…
Can social media shape the security of next-generation connected vehicles?
Nicola Scarano, Luca Mannella, Alessandro Savino +1
The increasing adoption of connectivity and electronic components in vehicles makes these systems valuable targets for attackers. While automotive vendors prioritize safety, there…
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
Alberto Dequino, Alessio Carpegna, Davide Nadalini +4
Rehearsal-based Continual Learning (CL) has been intensely investigated in Deep Neural Networks (DNNs). However, its application in Spiking Neural Networks (SNNs) has not been expl…
Navigating the road to automotive cybersecurity compliance
Franco Oberti, Fabrizio Abrate, Alessandro Savino +2
The automotive industry has evolved significantly since the introduction of the Ford Model T in 1908. Today's vehicles are not merely mechanical constructs; they are integral compo…
Hardware-based stack buffer overflow attack detection on RISC-V architectures
Cristiano Pegoraro Chenet, Ziteng Zhang, Alessandro Savino +1
This work evaluates how well hardware-based approaches detect stack buffer overflow (SBO) attacks in RISC-V systems. We conducted simulations on the PULP platform and examined micr…
CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation
Sadek Misto Kirdi, Nicola Scarano, Franco Oberti +3
Modern vehicles are increasingly vulnerable to attacks that exploit network infrastructures, particularly the Controller Area Network (CAN) networks. To effectively counter such th…
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients
Tamer Ahmed Eltaras, Qutaibah Malluhi, Alessandro Savino +3
In the effort to learn from extensive collections of distributed data, federated learning has emerged as a promising approach for preserving privacy by using a gradient-sharing mec…